Journal of Innovation & Knowledge最新文献_第7页

Sustainable governance and technological innovation: Moderating environmental risks of resource rents 可持续治理与技术创新：减缓资源租金的环境风险

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-06 DOI: 10.1016/j.jik.2025.100902

Xuefeng Shao , Chengming Hu , Manal Yunis , Lulu Hao

Over the years, the over-extraction and unsustainable utilization of natural resources has started to pose a severe environmental risk, necessitating immediate action on issues related to climate change. Therefore, this study examines the relationship between natural resources rent and environmental risk, and whether financial technology (FinTech) and institutional quality moderate this relationship in the context of the top 27 contaminating countries from the years pertaining to 1995 to 2022. Using the novel Method of Moments Quantile Regression (MMQR) approach, our study analyzes heterogeneous long-run coefficients across 10th, 25th, 50th, 75th, and 90th quantiles of environmental risk. In this regard, the MMQR findings have revealed that natural resources rent leads to an increase in the environmental risk, while FinTech and institutional quality tend to mitigate it. The moderation effect models revealed that both FinTech and institutional quality suppress the adverse environmental outcomes that are exerted by the natural resources rent. The Driscoll and Kray standard error (DKse) and Fully Modified Ordinary Least Square (FMOLS) estimation techniques confirm the robustness of the MMQR findings. These findings emphasize that policymakers and think tank initiatives should promote FinTech and robust institutions to encourage sustainable resource utilization in order to mitigate the environmental crisis.

多年来，自然资源的过度开采和不可持续利用已经开始构成严重的环境风险，需要立即采取行动应对气候变化问题。因此，本研究考察了自然资源租金与环境风险之间的关系，以及金融技术（FinTech）和制度质量是否在1995年至2022年污染最严重的27个国家的背景下调节了这种关系。本研究采用矩分位数回归（MMQR）方法，分析了环境风险第10、25、50、75和90分位数的异质性长期系数。在这方面，MMQR的研究结果显示，自然资源租金导致环境风险增加，而金融科技和机构质量往往会减轻环境风险。调节效应模型表明，金融科技和制度质量都抑制了自然资源租金对环境的不利影响。Driscoll和Kray标准误差（DKse）和完全修正普通最小二乘（FMOLS）估计技术证实了MMQR研究结果的稳健性。这些发现强调，政策制定者和智库倡议应促进金融科技和健全的制度，以鼓励可持续的资源利用，以缓解环境危机。

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引用次数: 0

Trust transference and cognitive affective trust dichotomy in TikTok short-form videos: The moderating role of source homophily TikTok短视频中的信任转移与认知情感信任二分法：来源同质性的调节作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-06 DOI: 10.1016/j.jik.2025.100890

Rajat Subhra Chatterjee , Mosharrof Hosen , Irfan Hameed , Hafiz Mudassir Rehman

This study explores the under-researched area of cognitive-affective trust transference within the context of short-form videos (SFV) on the TikTok platform. It also provides new insights into the impact of source homophily that arises from viewing SFV. The study incorporates trust transfer theory into the Stimulus-Organism-Response (SOR) model perspective to examine trust transference. Data were gathered from 411 online users in Malaysia using a purposive sampling technique. Partial least squares structural equation modeling has been used to analyze the data via SmartPLS. The findings suggest that video characteristics, platform trust, and source credibility of SFVs on TikTok affect affective trust and perceived homophily. Additionally, affective trust mediates the impact of perceived homophily on purchase intention. Furthermore, perceived homophily moderates the relationship between affective trust and purchase intention. This study offers original insights into how cognitive trust influences affective trust and purchase intention in TikTok SFVs. It examines trust transfer in livestreams and how perceived source homophily can serve as an effective intervention. The findings have novel theoretical implications, advancing our understanding of trust mechanisms in social media and e-commerce.

本研究探讨了TikTok平台短视频（SFV）背景下认知情感信任转移研究不足的领域。它还提供了新的见解，对源同源性的影响，产生了观看SFV。本研究将信任迁移理论引入刺激-有机体-反应（SOR）模型的视角来考察信任迁移。使用有目的的抽样技术从马来西亚的411名在线用户中收集数据。采用偏最小二乘结构方程模型对数据进行分析。研究结果表明，TikTok上sfv的视频特征、平台信任和来源可信度会影响情感信任和感知同质性。此外，情感信任在感知同质性对购买意愿的影响中起中介作用。此外，感知同质性调节情感信任与购买意愿的关系。本研究对认知信任如何影响TikTok sfv的情感信任和购买意愿提供了独到的见解。它研究了直播中的信任转移以及感知源同质性如何作为有效的干预措施。这些发现具有新的理论意义，促进了我们对社交媒体和电子商务中信任机制的理解。

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引用次数: 0

Beyond linearity: Quantifying SDG saturation in complex national innovation ecosystems 超越线性：量化复杂国家创新生态系统中的可持续发展目标饱和度

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-05 DOI: 10.1016/j.jik.2025.100907

Giacomo Masali , Donato Morea , Carlo Giglio , Gianpaolo Iazzolino , Guido Perboli , Maria Elena Bruni

This study investigates the complex, nonlinear dynamics of the achievement of Sustainable Development Goals (SDGs) within national innovation ecosystems (NIEs), addressing a critical gap in understanding SDG saturation. Studying this topic is crucial because, despite the growing importance of sustainability issues in innovation ecosystem research driven by social and economic pressure, the literature remains fragmented and undecided, lacking a clear understanding of complex governance and operational frameworks in NIEs. Employing the Bass diffusion model, we analyze 22 years of SDG Index score data (2000–2021) from 177 countries/regions. The model quantifies SDG saturation time, accounting for complex interdependencies and threshold effects overlooked by traditional linear models. Findings reveal characteristic S-shaped adoption curves for most countries, indicating initial slow progress, acceleration driven by imitation, and eventual saturation. Geographical and socioeconomic clustering analyses highlight distinct patterns in SDG progress that depend on the peculiarities of complex systems in national contexts. High-income countries exhibit greater innovation efforts but lower saturation potential due to the proximity to SDG ceilings, while lower-income countries face complex structural constraints. The Bass model proves effective for forecasting SDG saturation and informing policy interventions in complex systems like NIEs, emphasizing the need for context-dependent governance and resource allocation to accelerate equitable sustainable development across the globe.

本研究探讨了国家创新生态系统（NIEs）内实现可持续发展目标（SDG）的复杂非线性动态，解决了理解可持续发展目标饱和的关键空白。研究这一主题至关重要，因为尽管在社会和经济压力的推动下，可持续性问题在创新生态系统研究中越来越重要，但文献仍然是碎片化的和未确定的，缺乏对新兴企业复杂治理和运营框架的清晰理解。采用Bass扩散模型，我们分析了177个国家/地区22年来的可持续发展目标指数得分数据（2000-2021）。该模型量化了SDG饱和时间，考虑了传统线性模型忽略的复杂相互依赖关系和阈值效应。研究结果揭示了大多数国家的典型s型采用曲线，表明最初的缓慢进展，在模仿的推动下加速，最终达到饱和。地理和社会经济聚类分析突出了可持续发展目标进展的不同模式，这些模式取决于各国复杂系统的特点。高收入国家表现出更大的创新努力，但由于接近可持续发展目标上限，饱和潜力较低，而低收入国家则面临复杂的结构性限制。事实证明，Bass模型可有效预测可持续发展目标的饱和程度，并为新兴市场等复杂系统中的政策干预提供信息，强调需要根据具体情况进行治理和资源分配，以加速全球公平的可持续发展。

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引用次数: 0

Does AI promote synergistic efficiency in reducing textile industry pollution and carbon emissions? 人工智能在减少纺织工业污染和碳排放方面是否促进了协同效率？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-05 DOI: 10.1016/j.jik.2025.100904

Lelai Shi , Qiuhang Chen , Hong Lin

This study uses 102 textile enterprises listed in China’s A-share market from 2012 to 2022 as the research objects to explore the impact of artificial intelligence (AI) on enhancing textile enterprises’ pollution and carbon emissions reduction. Findings reveal that AI can significantly promote textile enterprises’ coordinated enhancement of pollution and carbon emissions reduction, and this finding holds after a series of robustness tests. The mechanism analysis demonstrates that textile enterprises’ pollution and carbon emissions reduction can be promoted by AI through improving textile raw material suppliers’ total factor productivity, increasing the fixed investment for pollution and carbon emissions reduction, and reducing the price of cotton. Heterogeneity analysis reveals that the positive impact of AI is more significant for textile enterprises with high environmental regulation intensity, executives with digital backgrounds, and intellectual property demonstration cities. In response to these findings, we propose relevant policy suggestions to provide references for accelerating textile enterprises’ transformation and upgrading and promoting steady economic growth.

本研究以2012年至2022年在中国a股上市的102家纺织企业为研究对象，探讨人工智能（AI）对增强纺织企业污染减排和碳减排的影响。研究结果表明，人工智能可以显著促进纺织企业污染减排和碳减排的协同增强，经过一系列稳健性检验，这一发现成立。机制分析表明，人工智能可以通过提高纺织原料供应商的全要素生产率、增加污染减排和碳减排的固定投资、降低棉花价格来促进纺织企业的污染减排和碳减排。异质性分析表明，人工智能对环境监管强度高的纺织企业、具有数字化背景的高管和知识产权示范城市的积极影响更为显著。针对这些发现，我们提出了相关的政策建议，为加快纺织企业转型升级，促进经济平稳增长提供参考。

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引用次数: 0

Consumer innovation resistance and green technological innovation behavior: an evolutionary game approach 消费者创新抗拒与绿色技术创新行为：一种演化博弈方法

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-04 DOI: 10.1016/j.jik.2025.100905

Xingwei Li, Guichuan Zhou, Beiyu Yi

Green technology innovation (GTI) is crucial for enhancing the resource utilization of construction and demolition waste (CDW). However, consumer resistance to products made from recycled CDW significantly constrains their advancement. Existing studies largely emphasize government policies and technological progress, while the pivotal influence of consumer innovation resistance remains underexplored. This study applies evolutionary game theory, grounded in innovation resistance theory, to examine the long-term interactive dynamics between consumers and building material manufacturers (BMMs). The results reveal that (1) both consumers’ stronger willingness to purchase green innovative products and BMMs’ higher initial intention to adopt GTI foster sustainable green development; and (2) the degree of consumer innovation resistance exerts heterogeneous effects on BMMs’ GTI decisions, whereas consumer green preferences consistently stimulate GTI adoption. Overall, this study elucidates the evolutionary mechanisms through which consumer innovation resistance and green preferences affect BMMs’ GTI behavior, addressing a key gap in the CDW domain. It further offers theoretical guidance for enterprises to mitigate innovation resistance, refine GTI strategies, and advance sustainable innovation in the construction industry.

绿色技术创新是提高建筑垃圾资源化利用的重要手段。然而，消费者对由再生CDW制成的产品的抵制极大地限制了它们的发展。现有研究大多强调政府政策和技术进步，而消费者创新阻力的关键影响尚未得到充分探讨。本研究以创新阻力理论为基础，运用演化博弈论检视消费者与建材制造商之间的长期互动动态。结果表明：(1)消费者购买绿色创新产品的意愿较强，零售商采用GTI的初始意愿较高，有利于可持续绿色发展；(2)消费者创新抗拒程度对零售企业的GTI决策具有异质性影响，而消费者绿色偏好对GTI采用具有一致性影响。总体而言，本研究阐明了消费者创新阻力和绿色偏好影响商业地产商GTI行为的演化机制，填补了CDW领域的一个关键空白。进一步为企业缓解创新阻力、完善GTI战略、推进建筑业可持续创新提供理论指导。

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引用次数: 0

The role of soft skills in workplace innovation: Leadership and problem-solving as key drivers 软技能在工作场所创新中的作用：领导能力和解决问题的关键驱动力

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-04 DOI: 10.1016/j.jik.2025.100901

Jose Carlos Ballester-Miquel , Pilar Perez-Ruiz , Sandra Gisbert-Muñoz , Sandra Enri-Peiró

This study examines how six different competencies or soft skills (leadership, critical thinking, teamwork, communication, resilience, and problem-solving) contribute to innovation in the workplace. Partial least squares structural equation modeling (PLS-SEM) was used to analyze a sample of 125 professionals. The analysis reveals that leadership has the most significant influence on innovation, followed by problem-solving, with the other competencies showing less meaningful effects. The results suggest that organizations that foster strong leadership and practical problem-solving skills are better equipped to innovate and adapt to the challenges of today’s marketplace. This study sheds light on the internal dynamics of organizational competencies and explains how these competencies can be targeted more effectively to foster an innovative and proactive workplace.

这项研究考察了六种不同的能力或软技能（领导力、批判性思维、团队合作、沟通、弹性和解决问题）如何促进工作场所的创新。采用偏最小二乘结构方程模型（PLS-SEM）对125名专业人员进行分析。分析表明，领导力对创新的影响最大，其次是解决问题的能力，其他能力的影响较小。研究结果表明，培养强大领导力和实际解决问题能力的组织更有能力创新，适应当今市场的挑战。这项研究揭示了组织能力的内部动态，并解释了如何更有效地针对这些能力来培养创新和积极主动的工作场所。

引用次数: 0

Navigating the brain drain crisis: Knowledge, visibility, sentiment, and divergence on X (formerly Twitter) among English, Spanish, and Italian users 应对人才流失危机：英语、西班牙语和意大利语用户在X（以前的Twitter）上的知识、可见度、情绪和分歧

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-04 DOI: 10.1016/j.jik.2025.100906

Jimi Park , Nicole Pitassi

Brain drain, the emigration of highly skilled workers, is both a pressing policy issue and a cultural frame for examining how societies negotiate belonging, loss, and opportunity. Using data from X (formerly known as Twitter) across English, Spanish, and Italian debates, this study examines engagement dynamics through three dimensions: visibility, sentiment shifts, and thematic divergence. In the present context, we define visibility as the weighted exposure of replies and likes that are standardized within each language. The dataset includes approximately 3100 English, 4500 Spanish, and 250 Italian tweet–reply pairs collected between 2020 and 2024. The findings show that visibility consistently drives engagement but carries distinct cultural meanings. The discourse in English illustrates coherence: engagement is amplified when replies remain thematically aligned, reinforcing bonding capital and collective narratives. The Spanish discourse illustrates plurality: visible divergent replies broaden participation, reflecting bridging capital while introducing volatility. The Italian discourse illustrates optimism: positive sentiment shifts sustain institutional trust with divergence. For policymakers, these results highlight the following specific pathways to tailor crisis communication: reinforce coherence in English debates, embrace plurality in Spanish contexts, and sustain optimism in Italian discourse.

人才流失，即高技能工人的移民，既是一个紧迫的政策问题，也是研究社会如何协商归属、损失和机会的文化框架。使用来自X（以前称为Twitter）的数据，通过英语、西班牙语和意大利语的辩论，本研究从三个方面考察了参与动态：可见性、情绪变化和主题分歧。在当前的上下文中，我们将可见性定义为在每种语言中标准化的回复和点赞的加权曝光。该数据集包括在2020年至2024年间收集的大约3100对英语、4500对西班牙语和250对意大利语推特回复。研究结果表明，可见性始终会推动用户粘性，但它带有不同的文化含义。英语中的话语说明了连贯性：当回答保持主题一致时，参与度就会被放大，从而加强了纽带资本和集体叙事。西班牙的论述说明了多元化：可见的分歧答复扩大了参与，反映了桥接资本，同时引入了波动性。意大利的论述说明了乐观主义：积极情绪的转变维持了制度信任与分歧。对于政策制定者来说，这些结果强调了以下具体途径：加强英语辩论的连贯性，在西班牙语语境中接受多元化，并在意大利语话语中保持乐观。

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引用次数: 0

Green, digital, or twin strategic orientation: What drives environmental sustainability and digitalization in German innovative SMEs? 绿色、数字化或双重战略导向：是什么推动了德国创新型中小企业的环境可持续性和数字化？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-29 DOI: 10.1016/j.jik.2025.100896

Nika Hein , Markus Thomas Münter , Volker Zimmermann

Firms are facing a substantial challenge in their journey towards a twin transformation to achieve greater environmental sustainability and digitalization simultaneously. Research lacks a deeper understanding on how firms respond to the need for a twin transformation. This study examines resources and capabilities that drive the green, digital, or twin transformation, in small and medium-sized enterprises (SMEs). Utilizing cross-sectional data from a sample of 7531 German firms sourced from the KfW SME panel, we conduct probit analysis to empirically test our hypotheses. Based on the different patterns observed with respect to the strategic orientation of a firm, we identify three distinct clusters: (1) firms solely prioritizing digitalization, which benefit primarily from size (number of employees and investments) and are situated in cities with access to a large number of graduates; (2) those emphasizing sustainability, typically smaller in scale with limited access to graduates and the tendency to be located in less densely populated areas; and (3) firms engaging in twin transformation, exhibiting similar characteristics to those focused on digitalization but possessing more experience and often being older. We find that the presence of college graduates as well as regular innovation activities have a significantly positive impact on digitalization, but a negative one on sustainability. This study contributes to research on understanding the strategic orientation of SMEs choosing between digitalization, environmental sustainability, and twin transformation, focusing on firm size as well as resources and capabilities. JEL Codes: D22, L21, O14, O32, R11

企业在同时实现更大的环境可持续性和数字化的双重转型过程中面临着重大挑战。研究缺乏对企业如何应对双重转型需求的更深入理解。本研究考察了推动中小企业绿色、数字化或孪生转型的资源和能力。利用来自KfW中小企业小组的7531家德国公司样本的横截面数据，我们进行概率分析以实证检验我们的假设。根据观察到的企业战略导向的不同模式，我们确定了三个不同的集群：(1)企业完全优先考虑数字化，主要受益于规模（员工数量和投资），并且位于能够获得大量毕业生的城市；(2)那些强调可持续性的大学，通常规模较小，毕业生接触机会有限，倾向于位于人口密度较低的地区；(3)从事双转型的企业，表现出与专注于数字化的企业相似的特征，但拥有更多的经验，往往是年龄较大的企业。我们发现，大学毕业生的存在以及定期的创新活动对数字化有显著的正向影响，但对可持续性有负向影响。本研究有助于理解中小企业在数字化、环境可持续性和孪生转型之间选择的战略取向，关注企业规模、资源和能力。JEL代码：D22， L21, O14, O32, R11

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引用次数: 0

Steered by digitization and incentives: The configuration and effect of improving innovation efficiency in manufacturing companies 数字化与激励驱动：制造业企业创新效率提升的配置与效果

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-27 DOI: 10.1016/j.jik.2025.100900

Haixiong Deng , Fang Yang , Wei Huang

Digitization has reshaped corporate innovation. However, few studies have explored how companies can fully incentivize their human capital in the digital transformation process to improve innovation capabilities. To address this gap, this study proposes a configurational framework that incorporates the degree of digitization and five key incentive mechanisms—namely, executive compensation incentives, executive equity incentives, employee compensation incentives, employee stock ownership plans, and pay gaps. Based on dynamic qualitative comparative analysis and regression analysis, this study utilized balanced data of 1387 listed manufacturing companies in China from 2016 to 2023 to explore the complex causal mechanisms driving high corporate innovation efficiency (IE). We found that no single factor constitutes a necessary condition for high corporate IE, but the necessity of executive and employee compensation incentives increased over time. Moreover, seven configuration paths leading to high corporate innovation efficiency were identified and integrated into four strategic solutions that vary across temporal dimensions, company size, and marginal effects. Our study demonstrates that the key to improving IE in the digital age lies in managing the relationship between digital value creation and human capital value distribution. The results provide important theoretical and practical insights into promoting high-quality innovation development in companies.

数字化重塑了企业创新。然而，很少有研究探讨企业如何在数字化转型过程中充分激励其人力资本以提高创新能力。为了解决这一差距，本研究提出了一个配置框架，该框架结合了数字化程度和五种关键激励机制，即高管薪酬激励、高管股权激励、员工薪酬激励、员工持股计划和薪酬差距。本文采用动态定性比较分析和回归分析相结合的方法，利用2016 - 2023年中国1387家制造业上市公司的平衡数据，探讨企业创新效率高的复杂因果机制。我们发现，没有单一因素构成高企业IE的必要条件，但高管和员工薪酬激励的必要性随着时间的推移而增加。此外，我们还发现了七条导致企业创新效率高的配置路径，并将其整合为四种不同时间维度、公司规模和边际效应的战略解决方案。我们的研究表明，在数字时代，改善企业信息化的关键在于管理好数字价值创造与人力资本价值分配之间的关系。研究结果为促进企业高质量创新发展提供了重要的理论和实践见解。

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引用次数: 0

Dual nature of innovation’s impact on income inequality: A comparative panel study of developed and developing countries 创新对收入不平等影响的双重性质：发达国家和发展中国家的比较面板研究

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-27 DOI: 10.1016/j.jik.2025.100871

Yu Qian , Zeshui Xu , Yong Qin , Marinko Skare

The continuous expansion of income disparities poses serious threats to sustainable socioeconomic development. Concurrently, as a key driver of technological advancement, the influence of innovation on shaping income inequality trends has been extensively debated. This study employs panel structural vector autoregression to examine the complex effects of innovation on income inequality using panel data from 59 countries spanning 1995–2021. The two-stage empirical analysis reveals that innovation shocks negatively affect income inequality in developed countries while positively impacting it in developing countries. Further qualitative investigations indicate that differences in developed and developing countries’ institutional guarantees may be a key reason for this distinction. We also determine that innovation only accounts for a small proportion (≤8 %) of the causes of income inequality changes in either case, and fluctuations in and solidification of income distribution patterns are the most significant influences within the scope of this study. Recommendations include strengthening institutional guarantees to ensure equitable distribution of innovation benefits, enhancing educational attainment, and promoting targeted skills training programs to bridge workforce skills gaps. By addressing these issues, policymakers can develop more effective strategies to balance the pursuit of innovation and the imperative goal of improving income distribution.

收入差距持续扩大，严重威胁社会经济可持续发展。同时，作为技术进步的关键驱动力，创新对形成收入不平等趋势的影响也受到了广泛的争论。本研究使用1995-2021年间59个国家的面板数据，采用面板结构向量自回归来检验创新对收入不平等的复杂影响。两阶段实证分析表明，创新冲击对发达国家的收入不平等产生负向影响，对发展中国家的收入不平等产生正向影响。进一步的定性调查表明，发达国家和发展中国家在体制保障方面的差异可能是造成这种差别的一个关键原因。我们还确定，在这两种情况下，创新只占收入不平等变化的一小部分原因（≤8%），收入分配模式的波动和固化是本研究范围内最显著的影响。建议包括加强制度保障，确保创新收益的公平分配，提高教育程度，促进有针对性的技能培训计划，以缩小劳动力技能差距。通过解决这些问题，政策制定者可以制定更有效的战略来平衡追求创新和改善收入分配的迫切目标。

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引用次数: 0